Download This PaperEnhancing DataCenter Security with A.I
4 Pages Posted: 3 Apr 2020
Date Written: April 8, 2020
Abstract
In the last few years, Artificial Intelligence (A.I) has been a popular area of focus/research. Artificial Intelligence provides an opportunity for various areas of research. In many areas such as medical, law & defense, agriculture, big manufacturing, chemical plants and so on. But still for a variety of reasons AI have not been adopted on a large scale. One of the primary reasons for adoption, the lack of real time accuracy, performance and cost. Contrary to what is feared and believed AI can actually revolutionize the way security solutions are working today. It is predicted that there will be need for security in area of AI to overcome issues like securing AI training data, training pipelines and ML models. How can AI be leveraged to enhance security in the landscape of datacenter which may protect large amount of customer data. Now a day’s business is vastly depending on Data driven model, also most of the compliance and regulator are strict with PII (Personally Identifiable Information) and SPDI (Sensitive Personal Information). With European countries coming up with GDPR for data protection act data is treat with utmost care and priority. This makes Data Center Critical and maintaining security for data center is also important. Currently there are many data theft incident in recent past which had impacted business in terms of brand value, reputation, financial loose etc. This whitepaper endeavors to shed some light on enhancing datacenter security using AI. For example, how user and its activity getting recognized and can prevent data-theft from data center. The paper concludes by mentioning the potential applications of AI for data center security breach.
Keywords: AI, Datacenter, Security, IoT, Monitoring, Access Card, Data-Theft, PII, SPDI, Human Activity Recognition (HAR), PCA, ICA, LDA, HMM
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